Graded-relevance annotations for sentences from
jjzha/skillskape
against the ESCO v1.1.0 skill taxonomy. Layout follows the
BEIR convention so it is drop-in for
MTEB-style retrieval evaluators.
This dataset was created for the RecSys-HR 2026 WorkRB challenge.
Configs
config
split
rows
columns
queries
validation
100
_id (sentence id), text (sentence)
queries
test
500
_id (sentence id), text (sentence)